Scientists developed an AI monitoring agent to detect and stop harmful outputs


20 Nov 2023 5:18 PM

A team of researchers from academia and tech have developed a simple system for monitoring the outputs of AI language models. ...

  • Researchers from AutoGPT, Northeastern University, and Microsoft Research have developed a tool to monitor large language models (LLMs) for potentially harmful outputs.
  • The tool can prevent harmful outputs, such as code attacks, from executing.
  • Existing tools for monitoring LLM outputs often fall short when applied to models already in production on the open internet due to the dynamic intricacies of the real world.
  • The researchers built a dataset of safe human/AI interactions and a competing dataset of adversarial outputs to train the monitoring agent.
  • The agent achieved an accuracy factor of nearly 90% in distinguishing between innocuous and potentially harmful outputs.

The article discusses the development of a tool that aims to prevent harmful outputs from large language models. The sentiment is positive as it highlights the efforts of researchers to address potential risks associated with AI.

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You May Ask

What is the purpose of the tool developed by the researchers?How does the tool prevent harmful outputs from executing?Why do existing tools for monitoring language model outputs often fall short?How did the researchers train the monitoring agent?What level of accuracy did the agent achieve in distinguishing between innocuous and potentially harmful outputs?

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